140 AI Projects jobs in South Africa

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Department: Sales and Delivery Team - Empower

Industry: Information Technology & Services, Computer Software, Management Consulting

Location: South Africa

Experience Range :8+ years

Basic Qualification: Master/Bachelor of Engineering or Equivalent

Travel Requirements: Not required

Website :

Exusia, a cutting-edge digital transformation company, seeks a Data Scientist to join our global delivery team's Data Engineering & Analytics practice around the world.

What’s the Role?

The Data Scientist role will be part of our Data Engineering & Analytics practice and will be focused on delivering best of breed solutions to our clients leveraging Advanced Analytics & Machine Learning tools and techniques.The candidate will also be part of the practice team and contribute to Competency development, driving innovation through various internal initiatives within the company. Candidate should have more than 8 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning

Responsibilities:

• Work on client projects to deliver Data insights using AI, ML and Advanced analytics techniques
• Architect, Build & Deploy scalable Machine Learning models both on premise & on cloud platforms
• Work with the business stakeholders to Identify problem statement, check availability of data and identify appropriate solutions to provide insights to address the problems and deliver better outcomes
• Work closely with the data engineering teams to source and ingest data into data lakes
• Look at semi structured and unstructured data and propose solutions to translate them into structured data format to provide better insights
• Collaborate with S & D leadership to propose and execute ML POCs to deliver quick wins for the clients
• Providing mentorship to junior resources within the data scientist community

Mandatory Skills:

• Should have 6+ years of experience working in Business Intelligence, Analytics and Machine Learning
• Extensive hands-on experience analyzing data with SQL
• Experience in data mining of large data sets using tools like SAS / R / Python to identify patterns
• Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing & cleaning data
• Experience using BI tools like Tableau or PowerBI for self-service analysis and Visualization of data
• Collaborate with data engineering teams to ingest unstructured & semi structured data into data lakes
• Identify data sets, attributes and patterns to propose appropriate ML approach for a given problem
• Strong fundamentals in statistics and its application for building and validating ML models
• Understanding of Supervised, Unsupervised and Reinforcement learning approaches
• Strong experience in using Regression / Classification / Clustering algorithms and their application for appropriate use cases
• Build models using R, Python or Cloud native ML offerings from AWS, AZURE and GCP platforms
• Deploy ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve
• Problem-solving skills along with good interpersonal & communication skills

Nice-to-Have Skills

• Exposure to Azure, AWS and Google Cloud Platforms with hands on exposure to ML service offerings
• Experience working with teams located in multiple locations across the globe
• Knowledge and understanding of various Data repositories, Databases, ETL and BI tools and data assets hosted on Hadoop or cloud platforms
• Agile development experience & collaborating with data engineering teams
• Familiarity with Spark, Scala and distributed data processing platforms will be a big advantage
• Ability to work with tools like Jupyter / Databricks notebooks to interactively work with data sets

Exusia, Inc. is committed to maintaining a dynamic work culture. We offer an excellent compensation and benefits package to all employees.

About Exusia:

Exusia ( is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business outcomes and providing strategy and execution capabilities around digital, analytics and cloud solutions. The company has established its leadership position by solving some of the world's largest and most complex data engineering and analytical problems in the healthcare, financial, telecommunications, consumer products and high technology industries.

Exusia’s mission is to transform the world through the innovative use of information.

Over the past 3 years, Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world.Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia and Africa. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and it's entrepreneurship. The company is headquartered in Miami, Florida, United States with development centers in India.

Interested applicants should apply by forwarding their CV to:

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Business Consulting and Services

Referrals increase your chances of interviewing at Exusia by 2x

City of Johannesburg, Gauteng, South Africa 2 days ago

Johannesburg, Gauteng, South Africa ZAR85,000.00-ZAR110,000.00 6 days ago

Johannesburg, Gauteng, South Africa 1 month ago

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Actuarial Business Analyst – Data Science and Machine Learning Lead

George, Western Cape | Badger Holdings SA

At Badger Holdings, we don’t just crunch numbers, we turn them into business game-changers.

We’re looking for an Actuarial Business Analyst to lead a team of Data Scientists in building impactful machine learning models. You will act as the translator, strategist, and impact-driver, ensuring each model delivers measurable value and is comprehensible from the boardroom to the operations floor.

If you can combine deep technical expertise with a focus on commercial impact and lead a high-performance analytics team, this is your opportunity to influence at the highest level.

What You’ll Do

Lead & Inspire

• Manage, mentor, and develop a team of Data Scientists to achieve high-quality delivery.
• Foster a culture of experimentation, collaboration, and results-oriented work.

Design & Deliver

• Oversee the development, testing, and deployment of machine learning models addressing real business challenges.
• Assess, communicate, and demonstrate the commercial impact of analytics solutions.
• Maintain model relevance, accuracy, and alignment with business objectives.

Bridge Tech & Business

• Serve as the primary liaison between data science teams and decision-makers.
• Translate complex analytics into clear, actionable insights.
• Support operational teams in adopting and utilizing model outputs effectively.

Drive Excellence

• Gather, refine, and document project requirements.
• Promote best practices, innovative modeling techniques, and continuous process improvements.

Actuarial Business Analyst – Data Science and Machine Learning Lead

George, Western Cape | Badger Holdings SA

At Badger Holdings, we don’t just crunch numbers, we turn them into business game-changers.
We’re on the hunt for an Actuarial Business Analyst who can lead a team of Data Scientists to build machine learning models that move the needle . You’ll be the translator, the strategist, and the impact-driver, making sure every model delivers measurable value and is understood from boardroom to operations floor.

I you can bridge deep technical expertise with commercial impact and lead a high-performance analytics team, this is your seat at the table.

What You’ll Do

• Manage, mentor, and grow a team of Data Scientists into a powerhouse of delivery.
• Build a culture where experimentation, collaboration, and results thrive.

Design & Deliver

• Oversee the creation, testing, and deployment of machine learning models that solve real business problems.
• Measure, quantify, and communicate the commercial impact of analytics solutions.
• Keep models relevant, accurate, and laser-focused on business goals.

Bridge Tech & Business

• Be the go-to liaison between data science and decision-makers.
• Translate complex analytics into plain, actionable English
• Ensure operational teams adopt and use model outputs effectively.

Drive Excellence

• Gather, refine, and document requirements for analytics projects.
• Push for best practices, smarter modelling approaches, and continuous process improvement.

What You’ll Need to Bring

• Degree or Honours in Actuarial Science .
• 7+ years’ experience in insurance or financial services (short-term insurance? Even better).
li >Proven track record in building statistical/machine learning models.
• Skill in turning model outputs into business gold.
• Leadership experience in Data Science, Analytics, or Actuarial teams.
• Experience with claims modelling & survival analysis in insurance.
• BI tool mastery (Power BI, Qlik Sense, Tableau, etc.).
• Exceptional stakeholder engagement and communication skills.

Preferred:

• Hands-on skills in Python, R, SQL, and cloud platforms like Snowflake.
• Experience shaping both technical and business requirements.
• Strong grasp of data-driven decision frameworks.

Why Badger?

We’re bold. We’re fast. We’re building the future of insurance analytics and you’ll be at the centre of it.
Here, your models won’t gather dust in a slide deck. They’ll shape strategy, impact the bottom line, and change how we work.

Read to lead the charge? Apply now and turn data into decisive action.

The position will be filled in line with Badger Holdings’ culture, values, and Employment Equity policy. Preference will be given to candidates from under-represented designated groups.

Actuarial Business Analyst – Data Science and Machine Learning Lead

George, Western Cape | Badger Holdings SA

At Badger Holdings, we don’t just crunch numbers, we turn them into business game-changers.
We’re on the hunt for an Actuarial Business Analyst who can lead a team of Data Scientists to build machine learning models that move the needle. You’ll be the translator, the strategist, and the impact-driver, making sure every model delivers measurable value and is understood from boardroom to operations floor.

If you can bridge deep technical expertise with commercial impact and lead a high-performance analytics team, this is your seat at the table.

What you’ll do

Lead and inspire

• Manage, mentor, and grow a team of Data Scientists into a powerhouse of delivery.

• Build a culture where experimentation, collaboration, and results thrive.

Design and deliver

• Oversee the creation, testing, and deployment of machine learning models that solve real business problems.

• Measure, quantify, and communicate the commercial impact of analytics solutions.

• Keep models relevant, accurate, and laser-focused on business goals.

Bridge tech and business

• Be the go-to liaison between data science and decision-makers.

• Translate complex analytics into plain, actionable English

• Ensure operational teams adopt and use model outputs effectively.

Drive excellence

• Gather, refine, and document requirements for analytics projects.

• Push for best practices, smarter modelling approaches, and continuous process improvement.

REQUIREMENTS

What you’ll need to bring

Essential:

• Degree or Honours in Actuarial Science .

• 7+ years’ experience in insurance or financial services (short-term insurance? Even better).

• Proven track record in building statistical/machine learning models.

• Skill in turning model outputs into business gold.

• Leadership experience in Data Science, Analytics, or Actuarial teams.

• Experience with claims modelling & survival analysis in insurance.

• BI tool mastery (Power BI, Qlik Sense, Tableau, etc.).

• Exceptional stakeholder engagement and communication skills.

Preferred:

• Hands-on skills in Python, R, SQL, and cloud platforms like Snowflake.

• Experience shaping both technical and business requirements.

• Strong grasp of data-driven decision frameworks.

Why Badger?

We’re bold. We’re fast. We’re building the future of insurance analytics and you’ll be at the centre of it.
Here, your models won’t gather dust in a slide deck. They’ll shape strategy, impact the bottom line, and change how we work.

Ready to lead the charge? Apply now and turn data into decisive action.

The position will be filled in line with Badger Holdings’ culture, values, and Employment Equity policy. Preference will be given to candidates from under-represented designated groups.